切换至 "中华医学电子期刊资源库"

中华医学超声杂志(电子版) ›› 2016, Vol. 13 ›› Issue (05) : 393 -397. doi: 10.3877/cma.j.issn.1672-6448.2016.05.014

所属专题: 乳腺超声 文献

浅表器官超声影像学

基于超声射频流的RF时间序列信号在乳腺病变良恶性鉴别中的价值
庄淑莲1, 周建华1, 王建伟1, 林庆光1, 李擎1, 李安华1,()   
  1. 1. 510060 广州,中山大学肿瘤防治中心超声科 华南肿瘤学国家重点实验室 肿瘤医学协同创新中心
  • 收稿日期:2015-11-25 出版日期:2016-05-01
  • 通信作者: 李安华
  • 基金资助:
    国家自然科学基金面上项目(81271578)

Differential diagnosis of breast lesions with RF time-series signal based on ultrasonic radio-frequency flow

Shulian Zhuang1, Jianhua Zhou1, Jianwei Wang1, Qingguang Lin1, Qing Li1, Anhua Li1,()   

  1. 1. Department of Ultrasound, Sun Yat-sen University Cancer Center, National Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Center Medicine, Guangzhou 510060, China
  • Received:2015-11-25 Published:2016-05-01
  • Corresponding author: Anhua Li
  • About author:
    Corresponding author: Li Anhua, Email:
引用本文:

庄淑莲, 周建华, 王建伟, 林庆光, 李擎, 李安华. 基于超声射频流的RF时间序列信号在乳腺病变良恶性鉴别中的价值[J/OL]. 中华医学超声杂志(电子版), 2016, 13(05): 393-397.

Shulian Zhuang, Jianhua Zhou, Jianwei Wang, Qingguang Lin, Qing Li, Anhua Li. Differential diagnosis of breast lesions with RF time-series signal based on ultrasonic radio-frequency flow[J/OL]. Chinese Journal of Medical Ultrasound (Electronic Edition), 2016, 13(05): 393-397.

目的

探讨基于超声射频流的原始射频(RF)时间序列信号定量分析在乳腺良恶性病变鉴别诊断中的应用。

方法

采用加拿大Ultrasonix Sonix TOUCH超声检查仪,L14-5线阵探头,对137个乳腺病灶最大横切面连续存储10 s二维图像射频RF信号。采用自编的RF时间序列信号分析软件对病灶组织感兴趣区(ROI)进行定量分析,得到9个谱特征参数,即尺寸测量关系(size measure relationship,SMR)分形维数、Higuchi分形维数、谱斜率(Slope)、谱截距(Intercept)、中频(Mid-band fit)和S1,S2,S3,S4。经手术或穿刺活检病理证实86个病灶为恶性,30个病灶为良性,21个病灶经随访2年以上无明显变化确诊为良性。

结果

基于超声射频流的RF时间序列信号的特征参数SMR分形维数、Higuchi分形维数、谱斜率(Slope)、谱截距(Intercept)、中频(Mid-band fit)和S1,S2,S3,S4,在良性病灶中均低于恶性病灶,差异具有统计学意义(0.75±0.77 vs 0.82±0.10,t=-4.722,1.31±0.07 vs 1.42±0.10,t=-7.476,-0.24±0.04 vs -0.26±0.06,t=1.986,0.19±0.03 vs 0.21±0.048,t=-3.391,0.067±0.011 vs 0.08±0.019,t=-5.319,3.22±0.54 vs 3.60±0.83,t=-3.298,0.53±0.12 vs 0.73±0.23,t=-6.467,0.31±0.06 vs 0.45±0.13,t=-9.207,0.24±0.05 vs 0.38±0.12,t=-9.367,P值均<0.05)。

结论

基于超声射频流的RF时间序列信号定量分析有望成为乳腺疾病鉴别诊断简单、无创的影像学新方法。

Objective

To evaluate the values of RF time-series signal based on ultrasonic radio-frequency flow in the differentiation of benign and malignant breast lesions.

Methods

A commercially available clinical ultrasound scanner, Sonix TOUCH (Ultrasonix Medical Corporation, Richmond, Canada) with a L14–5 linear ultrasound transducer was used to simultaneously collect B-mode images and RF data from breast lesions. The ultrasound probe displaying the maximal plane of the breast lesion was kept in the same position for 10 seconds. The ultrasound RF data from region of interest was imported into software developed by our lab for ultrasound spectral analysis and 9 spectral parameters including SMR fractal dimension, Higuchi fractal dimension, Slope, Intercept, Mid-band fit, S1, S2, S3, S4 were calculated. 137 patients with 137 breast lesions confirmed by pathological or follow-up findings were included in the study. Of the 137 breast lesions, 86 malignant and 30 benign lesions were confirmed by ultrasound guided core needle biopsy or surgical excision, and the rest 21 lesions were presumed benign as no significant change was found after at least 2 years of follow-up.

Results

There are significantly difference in spectral parameters including SMR fractal dimension, Higuchi fractal dimension, Slope, Intercept, Mid-band fit, S1, S2, S3 and S4 between the malignant and benign breast lesions (0.75±0.77 vs 0.82±0.10, t=-4.722, 1.31±0.07 vs 1.42±0.10, t=-7.476, -0.24±0.04 vs -0.26±0.06, t=1.986, 0.19±0.03 vs 0.21±0.048, t=-3.391, 0.067±0.011 vs 0.08±0.019, t=-5.319, 3.22±0.54 vs 3.60±0.83, t=-3.298, 0.53±0.12 vs 0.73±0.23, t=-6.467, 0.31±0.06 vs 0.45±0.13, t=-9.207, 0.24±0.05 vs 0.38±0.12, t=-9.367, all P<0.05).

Conclusion

RF time-series signal based on ultrasonic radio-frequency flow could provide a new imaging method with a simple, low-cost noninvasive technique for the differential diagnosis of the benign and malignant breast lesions.

图1 二维灰阶超声检查乳腺良性病灶RF时间序列参数提取过程
图2 图像相似的乳腺良恶性病灶RF时间序列信号差异明显
表1 137个乳腺病灶病理类型
表2 乳腺良恶性病灶基于超声射频流的RF时间序列信号定量分析参数比较表
[1]
Cao G, Shi P, Hu B. Ultrasonic liver discrimination using 2-D phase congruency [J]. IEEE Trans Biomed Eng, 2006, 53(10): 2116-2119.
[2]
Toyoda H, Kumada T, Kamiyama N, et al. B-mode ultrasound with algorithm based on statistical analysis of signals:evaluation of liver fibrosis in patients with chronic hepatitis C [J]. Am J Roentgenol, 2009, 193(4): 1037-1043.
[3]
高永振, 林春漪, 陈秋彬, 等. 基于超声射频时间序列的肝纤维化程度评分方法 [J]. 生物医学工程学杂志, 2015, 32(01): 175-180.
[4]
Moradi M, Mousavi P, Boag AH, et al. Augmenting detection of prostate cancer in transrectal ultrasound images using SVM and RF time series [J]. IEEE Trans Biomed Eng, 2009, 56(9): 2214-2224.
[5]
Uniyal N, Eskandari H, Abolmaesumi P, et al. Ultrasound RF time series for classification of breast lesions [J]. IEEE Trans Med Imaging, 2015, 34(2): 652-661.
[6]
徐光炜, 胡永昇, 阚秀. 中国10万妇女乳腺癌筛查初探 [J]. 中国肿瘤, 2010, 19(9): 565-568.
[7]
Liu T, Lizzi FL, Silverman RH, et al. Ultrasonic tissue characterization using 2-D spectrum analysis and its application in ocular tumor diagnosis [J]. Med Phys, 2004, 31(5): 1032-1039.
[8]
Moradi M, Mousavi P, Siemens DR, et al. Discrete Fourier analysis of ultrasound RF time series for detection of prostate cancer [J]. Conf Proc IEEE Eng Med Biol Soc, 2007, 2007(29): 1339-1342.
[9]
Lizzi FL, Greenebaum M, Feleppa EJ, et al. Theoretical framework for spectrum analysis in ultrasonic tissue characterization [J]. J Acoust Soc Am, 1983, 73(4): 1366-1373.
[10]
Sadeghi-Naini A, Sannachi L, Pritchard K, et al. Early prediction of therapy responses and outcomes in breast cancer patients using quantitative ultrasound spectral texture [J]. Oncotarget, 2014, 5(11): 3497-3511.
[11]
Kumon RE, Olowe K, Faulx AL, et al. EUS spectrum analysis for in vivo characterization of pancreatic and lymph node tissue: a pilot study [J]. Gastrointest Endosc, 2007, 66(6): 1096-1106.
[12]
Imani F, Wu MZ, Lasso A, et al. Monitoring of tissue ablation using time series of ultrasound RF data [J]. Med Image Comput Comput Assist Interv, 2011, 14(Pt 1): 379-386.
[13]
Fan L, Strasser-Weippl K, Li JJ, et al. Breast cancer in China [J]. Lancet Oncology, 2014, 15: e279-e289.
[14]
Berg WA, Cosgrove DO, Doré CJ, et al. Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses [J]. Radiology, 2012, 262(2): 435-449.
[15]
Lizzi FL, Ostromogilsky M, Feleppa EJ, et al. Relationship of ultrasonic spectral parameters to features of tissue microstructure [J]. IEEE Trans Ultrason Ferroelectr Freq Control, 1987, 34(3): 319-329.
[16]
Moradi M, Mousavi P, Abolmaesumi P. Tissue characterization using fractal dimension of high frequency ultrasound RF time series [J]. Med Image Comput Comput Assist Interv, 2007, 10(Pt 2): 900-908.
[17]
Nam K, Zagzebski JA, Hall TJ. Quantitative assessment of in vivo breast masses using ultrasound attenuation and backscatter [J]. Ultrason Imaging, 2013, 35(2): 146-161.
[1] 章建全, 程杰, 陈红琼, 闫磊. 采用ACR-TIRADS评估甲状腺消融区的调查研究[J/OL]. 中华医学超声杂志(电子版), 2024, 21(10): 966-971.
[2] 罗辉, 方晔. 品管圈在提高甲状腺结节细针穿刺检出率中的应用[J/OL]. 中华医学超声杂志(电子版), 2024, 21(10): 972-977.
[3] 杨忠, 时敬业, 邓学东, 姜纬, 殷林亮, 潘琦, 梁泓, 马建芳, 王珍奇, 张俊, 董姗姗. 产前超声在胎儿22q11.2 微缺失综合征中的应用价值[J/OL]. 中华医学超声杂志(电子版), 2024, 21(09): 852-858.
[4] 孙佳丽, 金琳, 沈崔琴, 陈晴晴, 林艳萍, 李朝军, 徐栋. 机器人辅助超声引导下经皮穿刺的体外实验研究[J/OL]. 中华医学超声杂志(电子版), 2024, 21(09): 884-889.
[5] 史学兵, 谢迎东, 谢霓, 徐超丽, 杨斌, 孙帼. 声辐射力弹性成像对不可切除肝细胞癌门静脉癌栓患者放射治疗效果的评价[J/OL]. 中华医学超声杂志(电子版), 2024, 21(08): 778-784.
[6] 李洋, 蔡金玉, 党晓智, 常婉英, 巨艳, 高毅, 宋宏萍. 基于深度学习的乳腺超声应变弹性图像生成模型的应用研究[J/OL]. 中华医学超声杂志(电子版), 2024, 21(06): 563-570.
[7] 洪玮, 叶细容, 刘枝红, 杨银凤, 吕志红. 超声影像组学联合临床病理特征预测乳腺癌新辅助化疗完全病理缓解的价值[J/OL]. 中华医学超声杂志(电子版), 2024, 21(06): 571-579.
[8] 周荷妹, 金杰, 叶建东, 夏之一, 王进进, 丁宁. 罕见成人肋骨郎格汉斯细胞组织细胞增生症被误诊为乳腺癌术后骨转移一例[J/OL]. 中华乳腺病杂志(电子版), 2024, 18(06): 380-383.
[9] 河北省抗癌协会乳腺癌专业委员会护理协作组. 乳腺癌中心静脉通路护理管理专家共识[J/OL]. 中华乳腺病杂志(电子版), 2024, 18(06): 321-329.
[10] 高杰红, 黎平平, 齐婧, 代引海. ETFA和CD34在乳腺癌中的表达及与临床病理参数和预后的关系研究[J/OL]. 中华普外科手术学杂志(电子版), 2025, 19(01): 64-67.
[11] 韩萌萌, 冯雪园, 马宁. 乳腺癌改良根治术后桡神经损伤1例[J/OL]. 中华普外科手术学杂志(电子版), 2025, 19(01): 117-118.
[12] 张志兆, 王睿, 郜苹苹, 王成方, 王成, 齐晓伟. DNMT3B与乳腺癌预后的关系及其生物学机制[J/OL]. 中华普外科手术学杂志(电子版), 2024, 18(06): 624-629.
[13] 王玲艳, 高春晖, 冯雪园, 崔鑫淼, 刘欢, 赵文明, 张金库. 循环肿瘤细胞在乳腺癌新辅助及术后辅助治疗中的应用[J/OL]. 中华普外科手术学杂志(电子版), 2024, 18(06): 630-633.
[14] 赵林娟, 吕婕, 王文胜, 马德茂, 侯涛. 超声引导下染色剂标记切缘的梭柱型和圆柱型保乳区段切除术的效果研究[J/OL]. 中华普外科手术学杂志(电子版), 2024, 18(06): 634-637.
[15] 张琛, 秦鸣, 董娟, 陈玉龙. 超声检查对儿童肠扭转缺血性改变的诊断价值[J/OL]. 中华消化病与影像杂志(电子版), 2024, 14(06): 565-568.
阅读次数
全文


摘要